The key technology of multi-machine (computer) cooperative operation under the specific virtual operating environment of LAN is studied for the maintenance operation of large complex mechanical equipment, which requires multiple people to cooperate and at the same time and place. The design and hardware configuration of the system are determined by the actual requirements of the maintenance operation in the background of the equipment, and finally the LAN environment is built under the support of Unity3D/network technology. On the network module built-in packaged component algorithm, by adding counters and controls the script call implements the optimization of the algorithm, thereby reducing the network delay from the server to the client in the multi-machine collaboration process. The result proves that it is completely feasible to develop a multi-machine cooperative virtual training system of a mechanical equipment based on the optimization of network encapsulation algorithm. The functional design of the system fully meets the actual needs.

Xuping Wang, Chengwei Jiang and Xingwu Kang. Research on Key Technologies of Multi-Computer Cooperative Virtual Training System Development. Academic Journal of Computing & Information Science (2018) Vol. 1: 71-79.

[1] LUAN F. Development Of Virtual Simulation Teaching System For Hydraulic Transmission Based On Unity3D [D]. Ji'nan: Shandong University of Architecture and Technology, 2015.
[2] YANG Y B, LI M, XIE H W. Solutions Of Desktop Virtual Maintenance Training System Based On Unity3D [J]. Journal of The Aapplication of Computer, 2016, 36 (S2): 3.
[3] CHEN J F. Research And Implementation Of Unity3D Based Cross Platform Mobile Phone Network Games [D]. Guangzhou: Zhongshan University, 2013.
[4] FENG Y Q. Research On Collaborative Work Platform For Maintenance And Disassembly Process [D]. Wuhan: Huazhong University of Science and Technology, 2014.
[5] HUANG P. Research And Implementation Of Distributed Collaborative Virtual Assembly Simulation Based on Unity3D [D]. Xiangtan: Xiangtan University, 2017.